Course detail

Neural networks, adaptive and optimum filtering

FEKT-DQB4Acad. year: 2002/2003

In its first part, the course is devoted to providing an overview of types of architecture of neural networks and to a detailed analysis of their properties. Applications of neural networks in signal and image processing and recognition are included in this treatment. In the second part, the course deals with the theory of optimum detection and restoration of signals in its classical and generalised forms, emphasising the common base of this whole area. The subject highlights the common view-points in the area of neural networks and in the area of optimised signal processing.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

prof. Ing. Jiří Jan, CSc.

Department

Department of Biomedical Engineering (UBMI)

Learning outcomes of the course unit

Theoretical knowledge of areas of neural networks and optimum signal processing, ability to apply and, if necessary, to modify these methods for concrete problems.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

oral exam

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Gaining knowledge of concepts of the theory of neural networks and theory of adaptive and optimum filtering, discussing the features of individual methods and showing common view-points of both areas

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

B. Kosko: Neural Networks and fuzzy systems. Prentice Hall 1992
B. Kosko (ed.): Neural Networks for signal processing. Prentice Hall 1992
S. Haykin: Neural Networks. Prentice Hall 1994
J.G.Proakis, et al.: Advanced digital signal processing. McMillan Publ. 1992
J.Jan: Digital Signal Filtering, Analysis and Restoration. IEE Publishing, London, UK, 2000
P.M.Clarkson: Optimal and Adaptive Signal Processing. CRC Press, 1993
S. Haykin: Adaptive Filter Theory. Prentice-Hall Int. 1991
V.K.Madisetti, D.B.Williams (eds.): The Digital Signal Processing Handbook. CRC Press & IEEE Press, 1998

Type of course unit

Lecture

39 hours, compulsory

Teacher / Lecturer

prof. Ing. Jiří Jan, CSc.

VUT

Faculties

University Institutes

Parts

Neural networks, adaptive and optimum filtering

Type of course unit